Enterprise Architecture and Business Architecture.  What are they?  What are the similarities?  What are the differences?  In this broadcast, we will begin with a consistent definition of the word Architecture.  From that common definition, we will then add the adjective Enterprise or Business to fully define an Enterprise Architecture or Business Architecture.

We will compare the concepts of a base of knowledge and a methodology for both Enterprise Architecture and Business Architecture.  A base of knowledge is like an encyclopedia – good for general information on a topic or area of interest.  A methodology is an action plan – a recipe that you can follow to provide a desired result.  Tune in for more information.

This Broadcast will define and describe a Framework for Business Architecture or Enterprise Architecture.  From that understanding, we will provide three examples of Frameworks in other professions to provide a context as to what is needed for a Business Architecture Framework or an Enterprise Architecture Framework.

Business Capability - what is it?  This broadcast will define the concept of a Business Capability, a definition of a Business Capability, what is "contained" in a Business Capability, and an example.  For a more comprehensive definition and example, please see our website www.BACOE.org

The Broadcast will define Stakeholder-Focused Enterprise Architecture – R.E.A.L. Enterprise Architecture that produces a “human-consumable” result.  If you are a practitioner and do not have a seat at the “big persons table,” this broadcast is of value to you.  If you are the recipient of an enterprise architecture and are still head-scratching as to what you received is good for, perhaps you can use this definition to more precisely define what you actually want from an Enterprise Architecture – a roadmap to achieve your organization's Goals and Strategies.

Hurray already!  We are beginning to see vendors and organizations realizing that because the artificial intelligence engines need GOOD data rather than a lot of (questionable) data, this training data needs to be from subject matter experts.  And it is happening. Yes, some problems still remain, but much fewer than in the “generalized” categories.

BUT?  What is the BUT?  These focused applications cost money – yes, it is not free.  Quite simply, real Best Practices cost money and are not on the internet.  Best Practices cost money in all areas of our activities, and the same is true for AI and its training data. This is a great development!

I review the thoughts of Neil deGrasse Tyson on the effect AI is having on the Internet and how I believe it will result in a realization that it is not the AI "engine" that is the issue but the "Internet training data" that is the underlying issue.

We used to call them “bugs,” then “revisions,” then “updates,” and now, in Artificial Intelligence (AI), “hallucinations.”  The correct term is “mistakes.”  Let us, as an industry, address these AI mistakes now.

Let us take a look at the term(s) that make up the composite phrase Artificial Intelligence.  When we analyze these terms, we find this is not the phrase we want to continue to use for a number of reasons.  Perhaps Amalgamated Information is more accurate and more exact.

There are four categories of data that are used/available to "train" Artificial Intelligence engines.  (1) open data on the Internet and other sources, (2) Copyrighted data, (3) Data requiring some initial exchange of information/funds, and (4) True Intellectual Capital / Best Practices. This Broadcast will provide some insight into and understanding of these Categories.